SPOTTER: Extending Symbolic Planning Operators through Targeted Reinforcement Learning

24 December 2020

Papers citing "SPOTTER: Extending Symbolic Planning Operators through Targeted Reinforcement Learning"

7 / 7 papers shown

Title
Methods and Mechanisms for Interactive Novelty Handling in Adversarial Environments Tung Thai Mingyu Shen M. Garg Ayush Kalani Nakul Vaidya ... Neeraj Varshney Chitta Baral Subbarao Kambhampati Jivko Sinapov matthias. scheutz 34 0 0 28 Feb 2023
Neuro-Symbolic World Models for Adapting to Open World Novelty Jonathan C. Balloch Zhiyu Lin Robert Wright Xiangyu Peng Mustafa Hussain Aarun Srinivas Julia Kim Mark O. Riedl 16 10 0 16 Jan 2023
LEAGUE: Guided Skill Learning and Abstraction for Long-Horizon Manipulation Shuo Cheng Danfei Xu 54 37 0 23 Oct 2022
Learning Neuro-Symbolic Skills for Bilevel Planning Tom Silver Ashay Athalye J. Tenenbaum Tomas Lozano-Perez L. Kaelbling 37 59 0 21 Jun 2022
Skill-based Multi-objective Reinforcement Learning of Industrial Robot Tasks with Planning and Knowledge Integration Matthias Mayr Faseeh Ahmad Konstantinos Chatzilygeroudis Luigi Nardi Volker Krueger 29 28 0 18 Mar 2022
Verifiable and Compositional Reinforcement Learning Systems Cyrus Neary Christos K. Verginis Murat Cubuktepe Ufuk Topcu CoGe OffRL 17 16 0 07 Jun 2021
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey Sanmit Narvekar Bei Peng Matteo Leonetti Jivko Sinapov Matthew E. Taylor Peter Stone ODL 152 458 0 10 Mar 2020